Haobo Jiang
18 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (5)
🌍
Conference Polyglot
(7)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(13)
🗃️
Keyword Collector
(86)
⚡
Prolific Year
(5)
💎
Century Club
(15)
🔥
Unstoppable
(5)
Conferences
AAAI (8)
ICCV (3)
CVPR (2)
ECCV (2)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
point cloud registration
(6)
reinforcement learning
(3)
diffusion model
(3)
unsupervised learning
(3)
markov decision process
(3)
cross-entropy method
(2)
6d pose estimation
(2)
point cloud processing
(2)
depth super-resolution
(2)
feature extraction
(1)
3d scene understanding
(1)
depth estimation
(1)
graph representation
(1)
variational inference
(1)
feature matching
(1)
attention mechanism
(1)
autoregressive transformer
(1)
differentiable programming
(1)
action selection
(1)
laplacian matrix
(1)
Papers
ReACT: Reward-informed Autoregressive Decision CAD Transformer
AAAI 2026
SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection
AAAI 2026
Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations
AAAI 2026
Zero-shot RGB-D Point Cloud Registration with Pre-trained Large Vision Model
CVPR 2025
Generative Point Cloud Registration
ICML 2025
NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation
AAAI 2025
DiffPCI: Large Motion Point Cloud frame Interpolation with Diffusion Model
ICCV 2025
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
ECCV 2024
Structure Flow-Guided Network for Real Depth Super-resolution
AAAI 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
NIPS 2023
Recurrent Structure Attention Guidance for Depth Super-resolution
AAAI 2023
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation
ICCV 2023
Robust Outlier Rejection for 3D Registration With Variational Bayes
CVPR 2023
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
ECCV 2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
AAAI 2022
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
ICCV 2021
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
AAAI 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
IJCAI 2021